Run
236300

Run 236300

Task 3606 (Supervised Classification) fri_c3_1000_10 Uploaded 02-03-2015 by Jan van Rijn
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Flow

weka.ExtraTree(1)Pierre Geurts, Damien Ernst, Louis Wehenkel (2006). Extremely randomized trees. Machine Learning. 63(1):3-42.
weka.ExtraTree(1)_K-1
weka.ExtraTree(1)_N-1
weka.ExtraTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8009
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8014
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5984
Cross-validation details (10-fold Crossvalidation)
KB relative information score
593.5961
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.199
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4928
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8027
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.801
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9896
Cross-validation details (10-fold Crossvalidation)
Recall
0.801
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4038
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4461
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8987
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1464.9318
UserCPU time millis training